Accelerating Business Analysis & Response Kinetics in Uncertain Times: How NextGen Quantitative-Data Science Will Prove Their Mettle

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27 April 2020
Cubillas Ding

Analyzing Emerging Next Generation Data Science Offerings

Key research questions

  • Why incumbent data analytics & BI solutions may not suffice in present day pandemic scenarios?
  • Which financial use cases will benefit from the application of Quant-Data Science?
  • How do solution offerings differentiate & what should firms look out for?


Against the urgent backdrop and the scale of the current pandemic challenges, what poses the biggest complications for financial institutions are that there are multi-faceted dimensions, scenarios and granular factors involved – hence the planning, modelling and formulation of business response strategies are not always easily compartmentalized. Moreover, beyond 'first wave' phases of lockdown, mitigation and suppression, the expectation is that virtualization of work and digital interactions could continue. This 'new normal' will translate into bigger and more varied data sets which firms can employ in their business planning and insight generation efforts.

In this regard, Celent believes that the coming convergence of QuantTech, Data Science and its ecosystem of technologies that have emerged in recent years, were made for such a time as this.

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Insight details

Capital Markets
Subscription(s) required to access this Insight:
Capital Markets, Risk, >>Financial Services Risk
Insight Format
Geographic Focus
Asia-Pacific, EMEA, LATAM, North America